Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
A Jupityer Notebook has been developed for teaching purposes to present an implementation of the well-known Model I for forest harvest planning in Guroby Python. Since the 1960s, forest management has formulated and solved this planning problem as a linear programming problem, the most widely studie...
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| Formato: | Objeto de aprendizaje |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/163465 |
| Aporte de: |
| Sumario: | A Jupityer Notebook has been developed for teaching purposes to present an implementation of the well-known Model I for forest harvest planning in Guroby Python. Since the 1960s, forest management has formulated and solved this planning problem as a linear programming problem, the most widely studied and employed mathematical optimization technique. To show the implementation, the example problem from a classic forest management text is used and summarily reviewed, mainly to establish the context and introduce the mathematical notation. The concrete implementation has been coded on a Jupyter Notebook that was stored on the server provided by Google Colab to run Python code. An installation of the Gurobipy library that provides a license for the use of the powerful Gurobi solver was also used to find the optimal solution to the problem. |
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